Anic Equity

Anic Equity

---------------------------------------------------------------------------
HTTPError                                 Traceback (most recent call last)
~\AppData\Local\Temp/ipykernel_15448/1335278011.py in <module>
      9     display(Markdown("# ***Anic Equity*** "))
---> 10     port, max_Equity, acc = get_current_portfolio()
     11     display(Markdown("## Updated:"), str(dt.now().date())+' '+str(dt.now().time()))

~\AppData\Local\Temp/ipykernel_15448/2092596468.py in get_current_portfolio()
    198     Max_dd = get_max_dd()
--> 199     acc = ava.get_account_overview(acc_id)
    200     Equity = acc['ownCapital']

~\Anaconda3\envs\AnicTrading\lib\site-packages\avanza\avanza.py in get_account_overview(self, account_id)
    270         """
--> 271         return self.__call(
    272             HttpMethod.GET,

~\Anaconda3\envs\AnicTrading\lib\site-packages\avanza\avanza.py in __call(self, method, path, options, return_content)
    137 
--> 138         response.raise_for_status()
    139 

~\Anaconda3\envs\AnicTrading\lib\site-packages\requests\models.py in raise_for_status(self)
    952         if http_error_msg:
--> 953             raise HTTPError(http_error_msg, response=self)
    954 

HTTPError: 500 Server Error: Server Error for url: https://www.avanza.se/_mobile/account/6422534/overview

During handling of the above exception, another exception occurred:

HTTPError                                 Traceback (most recent call last)
~\AppData\Local\Temp/ipykernel_15448/1335278011.py in <module>
     17     acc_id = get_accountId_by_name('Anic Investment')
     18     display(Markdown("# ***Anic Equity*** "))
---> 19     port, max_Equity, acc = get_current_portfolio()
     20     display(Markdown("## Updated:"), str(dt.now().date())+' '+str(dt.now().time()))
     21     Javascript("Jupyter.notebook.execute_cells([1])")

~\AppData\Local\Temp/ipykernel_15448/2092596468.py in get_current_portfolio()
    197     Max_equity = get_max_eq()
    198     Max_dd = get_max_dd()
--> 199     acc = ava.get_account_overview(acc_id)
    200     Equity = acc['ownCapital']
    201     display('#---------------------------------------------------------#')

~\Anaconda3\envs\AnicTrading\lib\site-packages\avanza\avanza.py in get_account_overview(self, account_id)
    269             }
    270         """
--> 271         return self.__call(
    272             HttpMethod.GET,
    273             Route.ACCOUNT_OVERVIEW_PATH.value.format(

~\Anaconda3\envs\AnicTrading\lib\site-packages\avanza\avanza.py in __call(self, method, path, options, return_content)
    136         )
    137 
--> 138         response.raise_for_status()
    139 
    140         # Some routes like add/remove instrument from a watchlist

~\Anaconda3\envs\AnicTrading\lib\site-packages\requests\models.py in raise_for_status(self)
    951 
    952         if http_error_msg:
--> 953             raise HTTPError(http_error_msg, response=self)
    954 
    955     def close(self):

HTTPError: 500 Server Error: Server Error for url: https://www.avanza.se/_mobile/account/6422534/overview

Anic Portfolio

Today

Return: -0.0 %

This Week

Return: -0.0 %

Total

Return: 59.744 %

Benchmark comparison TODAY

Benchmark comparison

OMXS30
DJUS
NDX
DAX
W1IDU

Excess return

OMXS30
DJUS
NDX
DAX
W1IDU

Anic Portfolio Holdings

	volume	changePercent	value	profit	profitPercent	acquiredValue
name
TOTAL			0.000000	0.000000	-6.29288%	0.000000

Updated:

'2023-03-27 15:31:54.014007'

None

Last optimization/rebalancing:

'2023-03-25'

Next optimization/rebalancing:

'2023-05-05'

In or Out of market? In if Signal > -10, else out of market!

AVAN-Live vs backtest and OMXSE30 2023

Walk forward test results - depending on starting day

Equity is shown as log of returns. Returns range by a factor of 10. Best is about 10000%, 100 times money, and worst 1000%, 10 times money in 20 years. Maximal duration for drawdown periods vary between 280-750 days. Worst drawdown across the tests is about 40 %.

Walk forward test results - Distribution of maximal drawdowns

Used to understand the strategys historical drawdown properties and to set the rule for when to stop trading the system. The stop limit is set to mean of max drawdown minus 2 standard deviations.